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Full time
Technology

Equity Vol Strat

Anson McCadeNew York, NY🇺🇸United StatesPosted 14 Jul 2026

Quick Overview

Salary
$250k - $400k/yr
Work Type
On Site
Schedule
Full Time
Level
Mid Senior

Job Description

$250-400k USD

Onsite WORKING

Location: New York, New York - United States Type: Permanent

Equity Volatility Quantitative Strategist - New York City

We are seeking an experienced Equity Volatility Quantitative Strategist to join our front-office quantitative research team in New York. The successful candidate will have 6-8 years of experience in the finance industry, strong development skills, and a deep understanding of the equity flow business. This is a hands-on quant developer role in a fast-paced trading environment, partnering closely with traders and portfolio managers to deliver high-impact solutions.

Key Responsibilities
  • Develop and maintain tools for market data analysis, including implied volatility fitting and surface construction.
  • Build and enhance pricing models and risk analytics for listed and OTC equity derivatives, light exotics, and structured products.
  • Collaborate with trading and portfolio teams to design robust, production-grade quantitative tools.
  • Contribute to the development of risk management systems and monitor key risk metrics.
  • Ensure scalability, reliability, and performance of quantitative libraries and applications.
  • Keep abreast of market trends, new products, and quantitative techniques in the equity derivatives space.
Skills & Qualifications
  • Experience: 6-8 years as a quantitative strategist/developer in equity derivatives within a trading desk environment.
  • Product & Market Knowledge:
    • In-depth understanding of equity market data and derivative products.
    • Strong grasp of risk measures and practical trading applications.
    • Familiarity with option pricing models (e.g., Black-Scholes, local volatility).
  • Technical Skills:
    • Expert Python programmer; C# or C++ experience preferred.
    • Strong knowledge of software engineering best practices (Git, testing, regression).
  • Personal Attributes:
    • Proactive, self-motivated, and results-driven.
    • Excellent problem-solving and analytical abilities.
    • Strong communicator, able to explain complex concepts clearly.
    • Resilient under pressure, able to manage multiple priorities.
  • Education: Advanced degree in a quantitative or engineering discipline.
Location: New York, NY
Employment Type: Full-time

Skills

C#
C++
Git
Python

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